pyspark-dataframes

Load dataframe from pyspark

倾然丶 夕夏残阳落幕 提交于 2020-12-15 05:23:56
问题 I am trying to connect to MS SQL DB from PySpark using spark.read.jdbc import os from pyspark.sql import * from pyspark.sql.functions import * from pyspark import SparkContext; from pyspark.sql.session import SparkSession sc = SparkContext.getOrCreate() spark = SparkSession(sc) df = spark.read \ .format('jdbc') \ .option('url', 'jdbc:sqlserver://local:1433') \ .option('user', 'sa') \ .option('password', '12345') \ .option('dbtable', '(select COL1, COL2 from tbl1 WHERE COL1 = 2)') then I do df

Load dataframe from pyspark

好久不见. 提交于 2020-12-15 05:23:06
问题 I am trying to connect to MS SQL DB from PySpark using spark.read.jdbc import os from pyspark.sql import * from pyspark.sql.functions import * from pyspark import SparkContext; from pyspark.sql.session import SparkSession sc = SparkContext.getOrCreate() spark = SparkSession(sc) df = spark.read \ .format('jdbc') \ .option('url', 'jdbc:sqlserver://local:1433') \ .option('user', 'sa') \ .option('password', '12345') \ .option('dbtable', '(select COL1, COL2 from tbl1 WHERE COL1 = 2)') then I do df

Writing custom condition inside .withColumn in Pyspark

巧了我就是萌 提交于 2020-12-15 03:39:51
问题 I have to add a customized condition, which has many columns in .withColumn. My scenario is somewhat like this. I have to check many columns row wise if they have Null values, and add those column names to a new column. My code looks somewhat like this: df= df.withColumn("MissingColumns",\ array(\ when(col("firstName").isNull(),lit("firstName")),\ when(col("salary").isNull(),lit("salary")))) Problem is I have many columns which I have to add to the condition. So I tried to customize it using

Writing custom condition inside .withColumn in Pyspark

江枫思渺然 提交于 2020-12-15 03:38:21
问题 I have to add a customized condition, which has many columns in .withColumn. My scenario is somewhat like this. I have to check many columns row wise if they have Null values, and add those column names to a new column. My code looks somewhat like this: df= df.withColumn("MissingColumns",\ array(\ when(col("firstName").isNull(),lit("firstName")),\ when(col("salary").isNull(),lit("salary")))) Problem is I have many columns which I have to add to the condition. So I tried to customize it using